code: def run():
      train_data = DataLoader(RandomDataset(32, 64), batch_size=2)
      val_data = DataLoader(RandomDataset(32, 64), batch_size=2)
      test_data = DataLoader(RandomDataset(32, 64), batch_size=2)
  
      model = BoringModel()
      trainer = Trainer(
          default_root_dir=os.getcwd(),
          limit_train_batches=1,
          limit_val_batches=1,
          limit_test_batches=1,
          num_sanity_val_steps=0,
          max_epochs=1,
          enable_model_summary=False,
      )
      trainer.fit(
          model, train_dataloaders=train_data, val_dataloaders=val_data
      )
      trainer.test(model, dataloaders=test_data)
  
file_path: pytorch-lightning/examples/pytorch/bug_report/bug_report_model.py
imports: import os
  import torch
  from lightning.pytorch import LightningModule, Trainer
  from torch.utils.data import DataLoader, Dataset
label_desc: Use image node_id 1 for calling a global function with example usage: run() without return types